ArticleTherapeutic advances in neurological disorders2019
Longitudinal cortical network reorganization in early relapsing-remitting multiple sclerosis.
Article in Therapeutic advances in neurological disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes.Journal of neurology, neurosurgery, and psychiatry · 2021Trial
- Brain network alterations in autoimmune diseases: Current status and future prospects.iScience · 2026Review
- Long-term risk of late-life depression in widowed elderly: a five-year follow-up study.BMC geriatrics · 2025Article
- The bi-phasic behaviour of grey matter networks after the first demyelinating attack.Brain communications · 2025Article
- Impairment of spinal CSF flow precedes immune cell infiltration in an active EAE model.Journal of neuroinflammation · 2024Article
- Prognostic value of single-subject grey matter networks in early multiple sclerosis.Brain : a journal of neurology · 2024Article
- Reliable brain morphometry from contrast-enhanced T1w-MRI in patients with multiple sclerosis.Human brain mapping · 2023Article
- Neurological soft signs and structural network changes: a longitudinal analysis in first-episode schizophrenia.BMC psychiatry · 2023Article
- Graph theoretical approach to brain remodeling in multiple sclerosis.Network neuroscience (Cambridge, Mass.) · 2023Article
- Structural brain network topological alterations in stuttering adults.Brain communications · 2022Article
- A more unstable resting-state functional network in cognitively declining multiple sclerosis.Brain communications · 2022Article
- Reorganization of the Brain Structural Covariance Network in Ischemic Moyamoya Disease Revealed by Graph Theoretical Analysis.Frontiers in aging neuroscience · 2022Article
- The network collapse in multiple sclerosis: An overview of novel concepts to address disease dynamics.NeuroImage. Clinical · 2022Review
- Structural brain network characteristics in patients with episodic and chronic migraine.The journal of headache and pain · 2021Article
- Modern Technology in Multi-Shell Diffusion MRI Reveals Diffuse White Matter Changes in Young Adults With Relapsing-Remitting Multiple Sclerosis.Frontiers in neuroscience · 2021Article
- Sex-specific signatures of intrinsic hippocampal networks and regional integrity underlying cognitive status in multiple sclerosis.Brain communications · 2021Article
- Linking Microstructural Integrity and Motor Cortex Excitability in Multiple Sclerosis.Frontiers in immunology · 2021Article
- Linking immune-mediated damage to neurodegeneration in multiple sclerosis: could network-based MRI help?Brain communications · 2021Article
- Myelination- and immune-mediated MR-based brain network correlates.Journal of neuroinflammation · 2020Article
- Frontoparietal connectivity correlates with working memory performance in multiple sclerosis.Scientific reports · 2020Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNetwork science provides powerful access to essential organizational principles of the brain. The aim of this study was to investigate longitudinal evolution of gray matter networks in early relapsing-remitting MS (RRMS) compared with healthy controls (HCs) and contrast network dynamics with conventional atrophy measurements.
methodsFor our longitudinal study, we investigated structural cortical networks over 1 year derived from 3T MRI in 203 individuals (92 early RRMS patients with mean disease duration of 12.1 ± 14.5 months and 101 HCs). Brain networks were computed based on cortical thickness inter-regional correlations and fed into graph theoretical analysis. Network connectivity measures (modularity, clustering coefficient, local efficiency, and transitivity) were compared between patients and HCs, and between patients with and without disease activity. Moreover, we calculated longitudinal brain volume changes and cortical atrophy patterns.
resultsOur analyses revealed strengthening of local network properties shown by increased modularity, clustering coefficient, local efficiency, and transitivity over time. These network dynamics were not detectable in the cortex of HCs over the same period and occurred independently of patients' disease activity. Most notably, the described network reorganization was evident beyond detectable atrophy as characterized by conventional morphometric methods.
conclusionIn conclusion, our findings provide evidence for gray matter network reorganization subsequent to clinical disease manifestation in patients with early RRMS. An adaptive cortical response with increased local network characteristics favoring network segregation could play a primordial role for maintaining brain function in response to neuroinflammation.
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